Improved prediction of protein content in wheat kernels with a fusion of scatter correction methods in NIR data modelling

Open-source python module for automated preprocessing of near infrared spectroscopic data

(2020) Jari Torniainen et al.   ANALYTICA CHIMICA ACTA

Sequential preprocessing through ORThogonalization (SPORT) and its application to near infrared spectroscopy

(2020) Jean-Michel Roger et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Parallel pre-processing through orthogonalization (PORTO) and its application to near-infrared spectroscopy

(2020) Puneet Mishra et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

SPORT pre-processing can improve near-infrared quality prediction models for fresh fruits and agro-materials

(2020) Puneet Mishra et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

VSN: Variable sorting for normalization

(2019) Gilles Rabatel et al.   JOURNAL OF CHEMOMETRICS

Measurement of optical properties of fruits and vegetables: A review

(2019) Renfu Lu et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Near infrared spectroscopy: A mature analytical technique with new perspectives – A review

(2018) Celio Pasquini   ANALYTICA CHIMICA ACTA

Near-Infrared spectroscopy and hyperspectral imaging for non-destructive quality assessment of cereal grains

(2018) Nicola Caporaso et al.   APPLIED SPECTROSCOPY REVIEWS

Analysis of wheat grain development using NIR spectroscopy

(2012) András Salgó et al.   JOURNAL OF CEREAL SCIENCE

Preference mapping by PO-PLS: Separating common and unique information in several data blocks

(2011) Ingrid Måge et al.   FOOD QUALITY AND PREFERENCE